Results 21 to 30 of about 128,370 (210)
On Maximum Entropy and Inference
Entropy, 2017 Maximum entropy is a powerful concept that entails a sharp separation between relevant and irrelevant variables. It is typically invoked in inference, once an assumption is made on what the relevant variables are, in order to estimate a model from data ...
Luigi Gresele, Matteo Marsili
doaj +1 more source
Maximum Entropy on Compact Groups
Entropy, 2009 In a compact group the Haar probability measure plays the role of uniform distribution. The entropy and rate distortion theory for this uniform distribution is studied.
Peter Harremoës
doaj +1 more source
Quantum Probabilities and Maximum Entropy
Entropy, 2017 Probabilities in quantum physics can be shown to originate from a maximum entropy principle.
Andreas Schlatter
doaj +1 more source
Optimal taxation policy maximum-entropy approach [PDF]
Yugoslav Journal of Operations Research, 2003 The object of this paper is firstly to present entropic measure of income inequality and secondly to develop maximum entropy approaches for the optimal reduction of income inequality through taxation. .
Jana P., Mazumder S.K., Das N.C.
doaj +1 more source
Remarks on the Maximum Entropy Principle with Application to the Maximum Entropy Theory of Ecology
Entropy, 2017 In the first part of the paper we work out the consequences of the fact that Jaynes’ Maximum Entropy Principle, when translated in mathematical terms, is a constrained extremum problem for an entropy function H ( p ) expressing the uncertainty ...
Marco Favretti
doaj +1 more source
Maximum entropy and sufficiency [PDF]
AIP Conference Proceedings, 2017 The notion of Bregman divergence and sufficiency will be defined on general convex state spaces. It is demonstrated that only spectral sets can have a Bregman divergence that satisfies a sufficiency condition. Positive elements with trace 1 in a Jordan algebra are examples of spectral sets, and the most important example is the set of density matrices ...
openaire +2 more sources
A Weighted Generalized Maximum Entropy Estimator with a Data-driven Weight
Entropy, 2009 The method of Generalized Maximum Entropy (GME), proposed in Golan, Judge and Miller (1996), is an information-theoretic approach that is robust to multicolinearity problem.
Ximing Wu
doaj +1 more source
Nested Maximum Entropy Designs for Computer Experiments
Mathematics, 2023 Presently, computer experiments with multiple levels of accuracy are widely applied in science and engineering. This paper introduces a class of nested maximum entropy designs for such computer experiments.
Weiyan Mu, Chengxin Liu, Shifeng Xiong
doaj +1 more source
ESTIMATING VOLUME DISTRIBUTIONS USING MAXIMUM ENTROPY
Image Analysis and Stereology, 2011 This paper describes a new method for estimating particle volume distributions using isotropic, uniform, random (IUR) sections. An attractive feature of the method is that it makes no assumptions about the shape of the particles.
Jonathan M Keith, Stephen L Gay
doaj +1 more source
Estimation Bias in Maximum Entropy Models
Entropy, 2013 Maximum entropy models have become popular statistical models in neuroscience and other areas in biology and can be useful tools for obtaining estimates of mutual information in biological systems.
Jakob H. Macke +2 more
doaj +1 more source